Mini-UAV-Borne Hyperspectral Remote Sensing: From Observation and Processing to Applications
Top Cited Papers
- 12 December 2018
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Geoscience and Remote Sensing Magazine
- Vol. 6 (4), 46-62
- https://doi.org/10.1109/mgrs.2018.2867592
Abstract
In recent years, with the rapid development of unmanned aerial vehicles (UAVs) and lightweight hyperspectral imaging (HSI) sensors, mini-UAV-borne hyperspectral remote sensing (HRS) systems have been developed and demonstrate great value and application potential. Compared to spaceborne and airborne HSI systems, mini-UAV-borne HSI systems come with relatively low manufacturing and running costs and have thus become a new research focus in the field of HRS.Keywords
Funding Information
- National Natural Science Foundation of China (41622107, 41771385 and 41371344)
This publication has 77 references indexed in Scilit:
- Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gapsBiosystems Engineering, 2013
- Unmanned Aerial Vehicle (UAV) for Monitoring Soil Erosion in MoroccoRemote Sensing, 2012
- Radiometric and Geometric Analysis of Hyperspectral Imagery Acquired from an Unmanned Aerial VehicleRemote Sensing, 2012
- Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of UseRemote Sensing, 2012
- Development of a UAV-LiDAR System with Application to Forest InventoryRemote Sensing, 2012
- An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point CloudsRemote Sensing, 2012
- Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal cameraRemote Sensing of Environment, 2012
- Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland EnvironmentsRemote Sensing, 2011
- Small‐Scale Remotely Piloted Vehicles in Environmental ResearchGeography Compass, 2010
- The use of the empirical line method to calibrate remotely sensed data to reflectanceInternational Journal of Remote Sensing, 1999